/**
 * Copyright 2021-2023 Huawei Technologies Co., Ltd
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */

#include "minddata/dataset/kernels/image/random_lighting_op.h"

#include "minddata/dataset/kernels/image/image_utils.h"

namespace mindspore {
namespace dataset {
Status RandomLightingOp::Compute(const std::shared_ptr<Tensor> &input, std::shared_ptr<Tensor> *output) {
  IO_CHECK(input, output);

  // check input dimension, it should be greater than 2
  RETURN_IF_NOT_OK(ValidateLowRank("RandomLighting", input, kMinImageRank, "<height, width, ...>"));
  RETURN_IF_NOT_OK(ValidateTensorNumeric("RandomLighting", input));

  float rnd_r = dist_(random_generator_);
  float rnd_g = dist_(random_generator_);
  float rnd_b = dist_(random_generator_);
  return RandomLighting(input, output, rnd_r, rnd_g, rnd_b);
}
}  // namespace dataset
}  // namespace mindspore
